Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...
Abstract: Mobile robotic systems serve as versatile platforms for diverse indoor applications, ranging from warehousing and manufacturing to test benches dedicated to evaluating automated driving (AD) ...
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